{ "repo": "MaybeShewill-CV/mortred_model_server", "revision": "main", "description": "Per product-id ONNX interchange source, IO contract, and license. Dual-file rules and remaining gaps: docs/onnx-interchange.md. HF hosts ONNX (plus CLIP vocab) after all interchange files exist — P2 local files are not uploaded yet. Product conf/model/**/*.toml stay type=mnn or type=tensorrt except diffusion/MSOCRNET/SAM-decoder overlays and LIBFACE (YuNet 2026may type=onnx). Do not reverse MNN/.model/.engine. Bytes/sha256 live in conf/weights_manifest.json. Dual files: {stem}.static_bs1.onnx and {stem}.dyn.onnx.", "policy": { "hf_hosts": "onnx_interchange", "product_backend": [ "mnn", "tensorrt" ], "no_reverse_from": [ "mnn", "model", "engine" ], "cpu_mnn_stay_until": "convert_mnn", "p1_skip": [ "weights/object_detection/yolov8/yolov8n.onnx", "weights/object_detection/yolov8/yolov8l.onnx", "weights/object_detection/yolov8/yolov8x.onnx", "weights/feature_point/lightglue/superpoint_lightglue_end2end.onnx", "weights/scene_segmentation/msocrnet/msocrnet.onnx", "weights/scene_segmentation/msocrnet/msocrnet_dynamic.onnx", "weights/scene_segmentation/msocrnet/msocrnet_repaired.onnx", "weights/sam/sam/mobile_sam/mobile_sam_encoder.onnx", "weights/sam/sam/mobile_sam/mobile_sam_decoder.onnx" ] }, "onnx_status": { "hosted": "ONNX already on HF (manifest on_hf=true)", "local": "ONNX on disk, not on HF; P1 uploads when p1_upload=true", "missing": "no matching ONNX; P2 official export", "blocked": "no matching official graph, or scaffold; keep runtime weight" }, "models": [ { "id": "MOBILENETV2", "served": "http", "config": "conf/model/classification/mobilenetv2/mobilenetv2.toml", "product_type": "mnn", "runtime_path": "weights/classification/mobilenetv2/mobilenetv2_ilsvrc2012.mnn", "onnx_path": "weights/classification/mobilenetv2/mobilenetv2.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "B", "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NHWC", "dtype": "F32", "shape": [ 1, 224, 224, 3 ], "dynamic": false } ], "outputs": [ { "name": "outputs.front()", "dtype": "F32" } ], "preprocess": "resize 256 → CENTER_CROP 224 → RGB; caffe 0-255 mean/std {123.68,116.78,103.94}/{58.395,57.12,57.375}; JPEG budget hint 256", "notes": "Wrong export is NCHW ImageNet 0-1. Must stay NHWC." }, "license": { "redistribute": "p2_review", "notes": "ImageNet-pretrained MobileNetV2; sibling MNN already on this HF repo." }, "onnx_dyn_path": "weights/classification/mobilenetv2/mobilenetv2.dyn.onnx", "onnx_source": { "kind": "official_ckpt_export", "ref": "torchvision.models.mobilenet_v2 MobileNet_V2_Weights.IMAGENET1K_V1", "script": "scripts/export_onnx/export_classification.py", "notes": "NHWC wrapper permute(0,3,1,2). Graph is F32 0-255-scale tensors; caffe mean/std stays in C++. Dual files .static_bs1 / .dyn." } }, { "id": "RESNET", "served": "http", "config": "conf/model/classification/resnet/resnet.toml", "product_type": "mnn", "runtime_path": "weights/classification/resnet/resnet-50.mnn", "onnx_path": "weights/classification/resnet/resnet.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "B", "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NHWC", "dtype": "F32", "shape": [ 1, 224, 224, 3 ], "dynamic": false } ], "outputs": [ { "name": "outputs.front()", "dtype": "F32" } ], "preprocess": "same as MOBILENETV2 (CENTER_CROP 256→224, caffe mean/std, RGB)" }, "license": { "redistribute": "p2_review", "notes": "Sibling MNN already on this HF repo." }, "onnx_dyn_path": "weights/classification/resnet/resnet.dyn.onnx", "onnx_source": { "kind": "official_ckpt_export", "ref": "torchvision.models.resnet50 ResNet50_Weights.IMAGENET1K_V1", "script": "scripts/export_onnx/export_classification.py", "notes": "Same NHWC wrap as MOBILENETV2." } }, { "id": "DENSENET", "served": "http", "config": "conf/model/classification/densenet/densenet.toml", "product_type": "mnn", "runtime_path": "weights/classification/densenet/densenet-121.mnn", "onnx_path": "weights/classification/densenet/densenet.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "B", "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NHWC", "dtype": "F32", "shape": [ 1, 224, 224, 3 ], "dynamic": false } ], "outputs": [ { "name": "outputs.front()", "dtype": "F32" } ], "preprocess": "same as MOBILENETV2" }, "license": { "redistribute": "p2_review", "notes": "Sibling MNN already on this HF repo." }, "onnx_dyn_path": "weights/classification/densenet/densenet.dyn.onnx", "onnx_source": { "kind": "official_ckpt_export", "ref": "torchvision.models.densenet121 DenseNet121_Weights.IMAGENET1K_V1", "script": "scripts/export_onnx/export_classification.py", "notes": "Same NHWC wrap as MOBILENETV2." } }, { "id": "YOLOV5", "served": "http", "config": "conf/model/object_detection/yolov5/yolov5l.toml", "product_type": "mnn", "runtime_path": "weights/object_detection/yolov5/yolov5l.mnn", "onnx_path": "weights/object_detection/yolov5/yolov5l.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "A", "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, 640, 640 ], "dynamic": false } ], "outputs": [ { "name": "output", "dtype": "F32", "shape": [ 1, -1, 85 ] } ], "preprocess": "YOLO letterbox RGB /255 pad 114; JPEG budget 640; NMS stays in C++" }, "license": { "redistribute": "review_before_redistribute", "notes": "Ultralytics/YOLO GPL-3.0. Sibling yolov5l.mnn already on this HF repo; still review before a new ONNX upload." }, "onnx_dyn_path": "weights/object_detection/yolov5/yolov5l.dyn.onnx", "onnx_source": { "kind": "official_ckpt_export", "ref": "https://hf-mirror.com/ultralytics/yolov5/resolve/main/yolov5l.pt (v7.0) + ultralytics/yolov5 export.py", "script": "scripts/export_onnx/ (yolov5 export.py; output0 renamed to output)", "notes": "Output name output [1,25200,85]. Dyn pair deep-patched Reshape dim0. GPL-3.0; do not upload until license review." } }, { "id": "YOLOV6", "served": "http", "config": "conf/model/object_detection/yolov6/yolov6s.toml", "product_type": "mnn", "runtime_path": "weights/object_detection/yolov6/yolov6s.mnn", "onnx_path": "weights/object_detection/yolov6/yolov6s.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "A", "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, 640, 640 ], "dynamic": false } ], "outputs": [ { "name": "outputs", "dtype": "F32", "shape": [ 1, -1, 85 ] } ], "preprocess": "YOLO letterbox RGB /255; JPEG budget 640; NMS in C++" }, "license": { "redistribute": "review_before_redistribute", "notes": "Meituan YOLOv6 GPL-3.0. Sibling yolov6s.mnn already on this HF repo." }, "onnx_dyn_path": "weights/object_detection/yolov6/yolov6s.dyn.onnx", "onnx_source": { "kind": "official_onnx", "ref": "Meituan YOLOv6 0.3.0 yolov6s.onnx (gh-proxy github.com/meituan/YOLOv6)", "script": "scripts/export_onnx/adopt_official_onnx.py", "notes": "Already named outputs [1,8400,85] (anchor-free). C++ accepts [1,-1,85]. GPL-3.0." } }, { "id": "YOLOV7", "served": "http", "config": "conf/model/object_detection/yolov7/yolov7.toml", "product_type": "mnn", "runtime_path": "weights/object_detection/yolov7/yolov7.mnn", "onnx_path": "weights/object_detection/yolov7/yolov7.static_bs1.onnx", "onnx_status": "hosted", "p1_upload": false, "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, 640, 640 ], "dynamic": false } ], "outputs": [ { "name": "output", "dtype": "F32" }, { "name": "518", "dtype": "F32" }, { "name": "532", "dtype": "F32" } ], "preprocess": "YOLO letterbox RGB /255; JPEG budget 640; three heads; NMS in C++" }, "license": { "redistribute": "already_on_this_hf_repo", "notes": "yolov7.onnx already hosted. GPL-3.0." }, "onnx_source": { "kind": "preexisting", "ref": "weights/object_detection/yolov7/yolov7.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width.", "legacy": "weights/object_detection/yolov7/yolov7.onnx" }, "legacy_onnx_path": "weights/object_detection/yolov7/yolov7.onnx", "onnx_dyn_path": "weights/object_detection/yolov7/yolov7.dyn.onnx" }, { "id": "YOLOV8", "served": "http", "config": "conf/model/object_detection/yolov8/yolov8s.toml", "product_type": "tensorrt", "runtime_path": "weights/object_detection/yolov8/yolov8s.engine.static_bs1.fp16in", "onnx_path": "weights/object_detection/yolov8/yolov8s.static_bs1.onnx", "onnx_status": "hosted", "p1_upload": false, "trt_engines_id": "yolov8s", "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, 640, 640 ], "dynamic": false } ], "outputs": [ { "name": "output0", "dtype": "F32", "shape": [ 1, 84, -1 ] } ], "preprocess": "YOLO letterbox RGB /255 pad 114; JPEG budget 640; NMS in C++. Template for HF-onnx + product-engine." }, "license": { "redistribute": "already_on_this_hf_repo", "notes": "Ultralytics AGPL-3.0. Product interchange is yolov8{n,s,l,x}.static_bs1.onnx. Legacy yolov8n/l/x.onnx stays off the product fetch." }, "onnx_source": { "kind": "preexisting", "ref": "weights/object_detection/yolov8/yolov8s.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width.", "legacy": "weights/object_detection/yolov8/yolov8s.onnx" }, "legacy_onnx_path": "weights/object_detection/yolov8/yolov8s.onnx", "onnx_dyn_path": "weights/object_detection/yolov8/yolov8s.dyn.onnx" }, { "id": "NANODET", "served": "http", "config": "conf/model/object_detection/nano_det/nanodet_1x5.toml", "product_type": "mnn", "runtime_path": "weights/object_detection/nanodet/nanodet_plus_m_1x5.mnn", "onnx_path": "weights/object_detection/nanodet/nanodet_plus_m_1x5.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "A", "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, 416, 416 ], "dynamic": false } ], "outputs": [ { "name": "output", "dtype": "F32", "shape": [ 1, "num_points", "C+(reg_max+1)*4" ] } ], "preprocess": "direct resize; JPEG budget 416; NMS in C++" }, "license": { "redistribute": "p2_review", "notes": "NanoDet-Plus Apache-2.0 typically. Sibling MNN already on this HF repo." }, "onnx_dyn_path": "weights/object_detection/nanodet/nanodet_plus_m_1x5.dyn.onnx", "onnx_source": { "kind": "official_onnx", "ref": "RangiLyu/nanodet official nanodet-plus-m-1.5x_416.onnx", "script": "scripts/export_onnx/common.py fold_weight_inputs + set_batch_dim", "notes": "Product 1x5 == plus-m-1.5x (9.5MB). Folded 260 leaked weight graph.inputs so only data remains. output [1,3598,112]. Extra sibling nanodet_plus_m_416 not product." } }, { "id": "LIBFACE", "variant": "320x240", "served": "http", "config": "conf/model/object_detection/libfacedetection/libface.toml", "product_type": "onnx", "runtime_path": "weights/object_detection/libfacedetection/face_detection_yunet_2026may.onnx", "onnx_path": "weights/object_detection/libfacedetection/face_detection_yunet_2026may.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "D", "contract": { "source": "on_init+toml", "inputs": [ { "name": "input", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, "height", "width" ], "dynamic": true } ], "outputs": [ { "name": "cls_8" }, { "name": "cls_16" }, { "name": "cls_32" }, { "name": "obj_8" }, { "name": "obj_16" }, { "name": "obj_32" }, { "name": "bbox_8" }, { "name": "bbox_16" }, { "name": "bbox_32" }, { "name": "kps_8" }, { "name": "kps_16" }, { "name": "kps_32" } ], "preprocess": "BGR 0-255; optional DIRECT_RESIZE from toml then right/bottom pad to /32" }, "license": { "redistribute": "p2_review", "notes": "OpenCV YuNet / libfacedetection. Sibling .model already on this HF repo. Spatial size must stay 320×240." }, "onnx_source": { "kind": "official_onnx", "ref": "opencv/opencv_zoo models/face_detection_yunet/face_detection_yunet_2026may.onnx", "script": "scripts/export_onnx/adopt_official_onnx.py + apply_reshape_batch_passthrough", "notes": "Original 2026may kept for product toml. static_bs1 = N=1, H/W still dynamic. dyn opens batch and rewrites 12 Reshape [1,-1,C] to [0,-1,C]. vs original ORT maxabs=0, dyn N=2 matches. C++ resizes to toml [320,240] then pads to /32." }, "onnx_dyn_path": "weights/object_detection/libfacedetection/face_detection_yunet_2026may.dyn.onnx", "legacy_onnx_path": "weights/object_detection/libfacedetection/face_detection_yunet_2026may.onnx" }, { "id": "LIBFACE", "variant": "640x480", "served": "http", "config": "conf/model/object_detection/libfacedetection/640x480_config.toml", "product_type": "onnx", "runtime_path": "weights/object_detection/libfacedetection/face_detection_yunet_2026may.onnx", "onnx_path": "weights/object_detection/libfacedetection/face_detection_yunet_2026may.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "D", "contract": { "source": "on_init+toml", "inputs": [ { "name": "input", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, "height", "width" ], "dynamic": true } ], "outputs": [ { "name": "cls_8" }, { "name": "cls_16" }, { "name": "cls_32" }, { "name": "obj_8" }, { "name": "obj_16" }, { "name": "obj_32" }, { "name": "bbox_8" }, { "name": "bbox_16" }, { "name": "bbox_32" }, { "name": "kps_8" }, { "name": "kps_16" }, { "name": "kps_32" } ], "preprocess": "BGR 0-255; DIRECT_RESIZE to 640x480 (already /32)" }, "license": { "redistribute": "p2_review", "notes": "Spatial size must stay 640×480." }, "onnx_source": { "kind": "official_onnx", "ref": "same face_detection_yunet_2026may.onnx as 320x240", "script": "scripts/export_onnx/adopt_official_onnx.py + apply_reshape_batch_passthrough", "notes": "Same dual pair. C++ resizes to toml [640,480]. Golden still uses this config." }, "onnx_dyn_path": "weights/object_detection/libfacedetection/face_detection_yunet_2026may.dyn.onnx", "legacy_onnx_path": "weights/object_detection/libfacedetection/face_detection_yunet_2026may.onnx" }, { "id": "CENTER_FACE", "served": "http", "config": "conf/model/object_detection/centerface/centerface.toml", "product_type": "mnn", "runtime_path": "weights/object_detection/centerface_detection/centerface.model", "onnx_path": "weights/object_detection/centerface_detection/centerface.static_bs1.onnx", "onnx_status": "local", "p1_upload": true, "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, -1, -1 ], "dynamic": true, "align_multiple": 32 } ], "outputs": [ { "name": "537", "note": "heatmap [1,1,H/4,W/4]" }, { "name": "538", "note": "scale" }, { "name": "539", "note": "offset" }, { "name": "540", "note": "landmark" } ], "preprocess": "RGB, ALIGN_TO_MULTIPLE 32, no JPEG budget (empty hint). Forbidden: static 256 export." }, "license": { "redistribute": "p1_same_as_existing_runtime_weight", "notes": "Local centerface.onnx is the interchange twin of centerface.model. Spatial dims must stay dynamic." }, "onnx_source": { "kind": "preexisting", "ref": "weights/object_detection/centerface_detection/centerface.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width.", "legacy": "weights/object_detection/centerface_detection/centerface.onnx" }, "legacy_onnx_path": "weights/object_detection/centerface_detection/centerface.onnx", "onnx_dyn_path": "weights/object_detection/centerface_detection/centerface.dyn.onnx" }, { "id": "RTDETR", "served": "scaffold", "config": "conf/model/object_detection/rtdetr/rtdetr_config.toml", "product_type": "tensorrt", "runtime_path": "weights/object_detection/rtdetr/rtdetr.engine", "onnx_path": null, "onnx_status": "blocked", "p1_upload": false, "contract": { "source": "scaffold", "notes": "MODEL_NOT_IMPLEMENTED; not in HTTP catalog." }, "license": { "redistribute": "n/a", "notes": "Do not upload until registered." } }, { "id": "DBNET", "served": "http", "config": "conf/model/ocr/db_text_detector/dbnet.toml", "product_type": "mnn", "runtime_path": "weights/ocr/db_text_detector/db_model_large.mnn", "onnx_path": "weights/ocr/db_text_detector/db_model_large.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "C", "contract": { "source": "on_init+toml", "inputs": [ { "name": "x", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, 544, 960 ], "dynamic": false } ], "outputs": [ { "name": "sigmoid_0.tmp_0", "dtype": "F32" } ], "preprocess": "JPEG budget 544×960. Missing output name → MODEL_INIT_FAILED; prefer renaming the graph." }, "license": { "redistribute": "p2_review", "notes": "PaddleOCR DBNet. Sibling MNN already on this HF repo." }, "onnx_dyn_path": "weights/ocr/db_text_detector/db_model_large.dyn.onnx", "onnx_source": { "kind": "paddle2onnx", "ref": "PaddleOCR ch_ppocr_server_v2.0_det_infer (bcebos) paddle2onnx opset 11", "script": "scripts/export_onnx/freeze_spatial.py + write_pair_from_static", "notes": "IO already x / sigmoid_0.tmp_0. Spatial frozen to product 544x960. Backbone family may differ from db_model_large.mnn; golden may drift." } }, { "id": "BISENETV2", "served": "http", "config": "conf/model/scene_segmentation/bisenetv2/bisenetv2.toml", "product_type": "mnn", "runtime_path": "weights/scene_segmentation/bisenetv2/bisenetv2_cityscapes.mnn", "onnx_path": "weights/scene_segmentation/bisenetv2/bisenetv2_cityscapes.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "C", "contract": { "source": "on_init+toml", "inputs": [ { "name": "input_tensor", "layout": "NHWC", "dtype": "F32", "shape": [ 1, 512, 1024, 3 ], "dynamic": false, "spatial": "512x1024" } ], "outputs": [ { "name": "final_output", "layout": "HWC", "dtype": "F32", "shape": [ 512, 1024, 19 ] } ], "preprocess": "(x/255-0.5)/0.5 RGB NHWC DIRECT_RESIZE; JPEG budget = network H×W" }, "license": { "redistribute": "p2_review", "notes": "Sibling MNN already on this HF repo." }, "onnx_source": { "kind": "official_ckpt_export", "ref": "MaybeShewill-CV/bisenetv2-tensorflow cityscapes.ckpt (EMA) freeze softmax squeeze", "script": "scripts/export_onnx/export_bisenetv2.py", "notes": "Product MNN is this TF graph, not CoinCheung pth. input_tensor NHWC [1,512,1024,3] → final_output HWC softmax [512,1024,19]. Argmax vs product MNN agrees 1.0. Dyn only opens input batch; output is squeezed rank-3." }, "onnx_dyn_path": "weights/scene_segmentation/bisenetv2/bisenetv2_cityscapes.dyn.onnx" }, { "id": "PPHUMAN_SEG", "served": "http", "config": "conf/model/scene_segmentation/pphuman/pphuman_mobile.toml", "product_type": "mnn", "runtime_path": "weights/scene_segmentation/pphuman_seg/pp_humanseg_192x192_mobile.mnn", "onnx_path": "weights/scene_segmentation/pphuman_seg/pp_humanseg_192x192_mobile.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "C", "contract": { "source": "on_init+toml", "inputs": [ { "name": "x", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, 192, 192 ], "dynamic": false } ], "outputs": [ { "name": "softmax_0.tmp_0" } ], "preprocess": "static 192 NCHW; JPEG budget 192" }, "license": { "redistribute": "p2_review", "notes": "Paddle PP-HumanSeg. Sibling MNN already on this HF repo." }, "onnx_dyn_path": "weights/scene_segmentation/pphuman_seg/pp_humanseg_192x192_mobile.dyn.onnx", "onnx_source": { "kind": "official_ckpt_export", "ref": "local human_pp_humansegv2_mobile_192x192_pretrained/model.pdparams (PPLiteSeg STDC1)", "script": "scripts/export_onnx/export_pphuman.py", "notes": "Dygraph pdparams → jit softmax wrap → paddle2onnx opset 11, freeze 192. IO x / softmax_0.tmp_0 [1,2,192,192]. vs product MNN argmax agree 1.0 maxabs~2e-4. Sibling lite 192 and v1-server 512 also exported. Product toml stays type=mnn." } }, { "id": "HRNET", "served": "http", "config": "conf/model/scene_segmentation/hrnet/hrnet.toml", "product_type": "tensorrt", "runtime_path": "weights/scene_segmentation/hrnet/hrnetw48_ccd_fp32.engine", "onnx_path": "weights/scene_segmentation/hrnet/hrnetw48_ccd.static_bs1.onnx", "onnx_status": "local", "p1_upload": true, "trt_engines_id": "hrnetw48_ccd_fp32", "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, "H", "W" ], "dynamic": false, "spatial": "session_static" } ], "outputs": [ { "name": "outputs.front()", "dtype": "I32", "note": "argmax" } ], "preprocess": "RGB (x/255-0.5)/0.5 DIRECT_RESIZE; engine is FP32 (fp=0)" }, "license": { "redistribute": "p1_same_as_existing_runtime_weight", "notes": "Local ONNX is the trtexec source for the product FP32 engine." }, "onnx_source": { "kind": "preexisting", "ref": "weights/scene_segmentation/hrnet/hrnetw48_ccd.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width.", "legacy": "weights/scene_segmentation/hrnet/hrnetw48_ccd.onnx" }, "legacy_onnx_path": "weights/scene_segmentation/hrnet/hrnetw48_ccd.onnx", "onnx_dyn_path": "weights/scene_segmentation/hrnet/hrnetw48_ccd.dyn.onnx" }, { "id": "MSOCRNET", "served": "bench", "config": "conf/model/scene_segmentation/msocrnet/msocrnet.toml", "product_type": "onnx", "runtime_path": "weights/scene_segmentation/msocrnet/msocrnet_fp16.onnx", "onnx_path": "weights/scene_segmentation/msocrnet/msocrnet_fp16.static_bs1.onnx", "onnx_status": "local", "p1_upload": true, "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NCHW_or_NHWC", "shape": [ 1, 3, 1024, 2048 ], "note": "size fallback [1024,2048] when spatial dynamic" } ], "preprocess": "JPEG budget; GPU fork still needs static TRT spatial dims. Do not upload msocrnet.onnx / _dynamic / _repaired." }, "license": { "redistribute": "p1_same_as_existing_runtime_weight", "notes": "Product toml already points at this ONNX." }, "notes": "Existing product-type=onnx exception (bench-only).", "onnx_source": { "kind": "preexisting", "ref": "weights/scene_segmentation/msocrnet/msocrnet_fp16.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width.", "legacy": "weights/scene_segmentation/msocrnet/msocrnet_fp16.onnx" }, "legacy_onnx_path": "weights/scene_segmentation/msocrnet/msocrnet_fp16.onnx", "onnx_dyn_path": "weights/scene_segmentation/msocrnet/msocrnet_fp16.dyn.onnx" }, { "id": "MODNET", "served": "http", "config": "conf/model/matting/modnet/modnet.toml", "product_type": "mnn", "runtime_path": "weights/matting/modnet/modnet_hrnet_w18.mnn", "onnx_path": "weights/matting/modnet/modnet_hrnet_w18.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "D", "contract": { "source": "on_init+toml", "inputs": [ { "name": "img", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, "H", "W" ], "dynamic": false, "spatial": "session_static" } ], "outputs": [ { "name": "sigmoid_2.tmp_0" } ], "preprocess": "matte resized back to source_size" }, "license": { "redistribute": "p2_review", "notes": "Sibling MNN already on this HF repo." }, "onnx_dyn_path": "weights/matting/modnet/modnet_hrnet_w18.dyn.onnx", "onnx_source": { "kind": "paddle2onnx", "ref": "PaddleSeg modnet-hrnet_w18.zip", "script": "paddle2onnx + freeze 512 + write_pair_from_static", "notes": "img / sigmoid_2.tmp_0 frozen 512x512 (session requires static H/W)." } }, { "id": "PP_MATTING", "served": "http", "config": "conf/model/matting/ppmatting/ppmatting_512.toml", "product_type": "mnn", "runtime_path": "weights/matting/ppmatting/ppmatting_hrnet_w18_human_512.mnn", "onnx_path": "weights/matting/ppmatting/ppmatting_hrnet_w18_human_512.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "D", "contract": { "source": "on_init+session", "inputs": [ { "name": "img", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, 512, 512 ], "dynamic": false } ], "outputs": [ { "name": "tmp_75" } ], "preprocess": "static 512 from session; RGB /255 mean/std 0.5; matte maps to source_size" }, "license": { "redistribute": "p2_review", "notes": "PaddleSeg PP-Matting. Product toml stays type=mnn. Sibling MNNs stay until convert_mnn." }, "onnx_source": { "kind": "paddle2onnx", "ref": "PaddleSeg ppmatting-hrnet_w18-human_512.zip (bcebos); user also provided 1024/v2/resnet34 inference dirs", "script": "scripts/export_onnx/export_ppmatting.py", "notes": "Dynamic AdaptiveAvgPool ASPP (1/3/5) needs static feed before paddle2onnx 1.2.3. Freeze img to [1,3,512,512] via ProgramDesc InferShape (C++ on_init also requires area>0). IO img / tmp_75. vs Paddle maxabs~1e-6; vs product MNN corr~0.99993 meanabs~3e-4 (argmax fusion edge pixels). Sibling 1024 (same 512 freeze) and resnet34_vd 2048 also exported. v2-stdc1 is a different graph (sigmoid_5.tmp_0), not the HTTP product. Product toml stays type=mnn." }, "onnx_dyn_path": "weights/matting/ppmatting/ppmatting_hrnet_w18_human_512.dyn.onnx" }, { "id": "ENLIGHTEN_GAN", "served": "http", "config": "conf/model/enhancement/enlighten_gan/enlightengan.toml", "product_type": "mnn", "runtime_path": "weights/enhancement/enlighten_gan/enlightengan.model", "onnx_path": "weights/enhancement/enlighten_gan/enlightengan.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "F", "contract": { "source": "on_init+toml", "inputs": [ { "name": "input_src", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, -1, -1 ], "dynamic": true, "align_multiple": 16 }, { "name": "input_gray", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 1, -1, -1 ], "dynamic": true, "align_multiple": 16 } ], "outputs": [ { "name": "output" } ], "preprocess": "ALIGN_TO_MULTIPLE 16, no JPEG budget. Forbidden: fixed 256 export." }, "license": { "redistribute": "p2_review", "notes": "Unet_resize_conv from local 200_net_G_A.pth. Product toml stays type=mnn. Original enlighten.onnx is a fused single-input wrapper, not the interchange file." }, "onnx_source": { "kind": "official_ckpt_export", "ref": "local 200_net_G_A.pth Unet_resize_conv self_attention+skip+times_residual", "script": "scripts/export_onnx/export_enlighten.py", "notes": "Product C++ feeds NCHW input_src [1,3,H,W] + input_gray [1,1,H,W] already in [-1,1]/Rec.601 gray, H/W align-up-16. Local enlighten.onnx is the same Unet (weights maxabs 0) with 2x-1 + gray fused into a single `input` — wrong IO, not adopted. Dual files keep spatial dynamic; vs product MNN maxabs~3e-4 corr~1. Original enlighten.onnx kept. Do not freeze 256." }, "onnx_dyn_path": "weights/enhancement/enlighten_gan/enlightengan.dyn.onnx" }, { "id": "ATTENTIVE_GAN_DERAIN", "served": "http", "config": "conf/model/enhancement/attentive_gan_derain/attentive_gan.toml", "product_type": "mnn", "runtime_path": "weights/enhancement/attentive_gan_derain/attentive_gan_derain.model", "onnx_path": "weights/enhancement/attentive_gan_derain/attentive_gan_derain.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "F", "contract": { "source": "on_init+session", "inputs": [ { "name": "input_tensor", "layout": "NHWC", "dtype": "F32", "shape": [ 1, 240, 360, 3 ], "dynamic": false } ], "outputs": [ { "name": "final_output", "layout": "HWC", "dtype": "F32", "shape": [ 240, 360, 3 ] } ], "preprocess": "BGR x/127.5-1 DIRECT_RESIZE; JPEG budget 240×360 from session (toml [240,320] is stale); static NHWC" }, "license": { "redistribute": "p2_review", "notes": "Sibling .model already on this HF repo." }, "onnx_source": { "kind": "official_ckpt_export", "ref": "MaybeShewill-CV/attentive-gan-derainnet derain_gan.ckpt-100000 freeze squeezed tanh skip_3", "script": "scripts/export_onnx/export_attentive_gan.py", "notes": "Product MNN is this TF graph at 240x360 (toml [240,320] is stale; C++ uses session shape). input_tensor NHWC [1,240,360,3] → final_output HWC [240,360,3]. Local attentive_gan_derain.pb is a text training GraphDef, not a frozen net. vs product MNN maxabs~1e-3 corr~1. Dyn only opens input batch; LSTM init constants stay N=1." }, "onnx_dyn_path": "weights/enhancement/attentive_gan_derain/attentive_gan_derain.dyn.onnx" }, { "id": "REAL_ESRGAN", "served": "http", "config": "conf/model/enhancement/real_esrgan/realesrgan.toml", "product_type": "mnn", "runtime_path": "weights/enhancement/real_esrgan/realesr-general-x4v3.model", "onnx_path": "weights/enhancement/real_esrgan/realesr-general-x4v3.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "F", "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NHWC", "dtype": "F32", "shape": [ 1, -1, -1, 3 ], "dynamic": true } ], "outputs": [ { "name": "outputs.front()" } ], "preprocess": "NONE at source resolution, RGB /255, no JPEG budget" }, "license": { "redistribute": "p2_review", "notes": "xinntao Real-ESRGAN. Keep .model until a NONE-dynamic NHWC ONNX matches." }, "onnx_dyn_path": "weights/enhancement/real_esrgan/realesr-general-x4v3.dyn.onnx", "onnx_source": { "kind": "official_ckpt_export", "ref": "xinntao/Real-ESRGAN realesr-general-x4v3.pth (SRVGGNetCompact)", "script": "scripts/export_onnx/export_realesrgan.py", "notes": "NHWC RGB /255 in, NCHW out; dynamic H/W; static_bs1 keeps batch=1. Matches C++ contract." } }, { "id": "SUPERPOINT", "served": "http", "config": "conf/model/feature_point/superpoint/superpoint.toml", "product_type": "mnn", "runtime_path": "weights/feature_point/superpoint/superpoint_120x160.mnn", "onnx_path": "weights/feature_point/superpoint/superpoint_120x160.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "E", "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 1, 120, 160 ], "dynamic": false, "color": "GRAY" } ], "outputs": [ { "name": "output_1", "dtype": "F32", "shape": [ 1, 65, 15, 20 ], "note": "65-ch heatmap, H/8 W/8" }, { "name": "output_2", "dtype": "F32", "shape": [ 1, 256, 15, 20 ], "note": "256-ch desc" } ], "preprocess": "GRAY /255 DIRECT_RESIZE; product is 120×160 only; other MNN sizes stay local" }, "license": { "redistribute": "p2_review", "notes": "MagicLeap SuperPoint. Sibling 120x160 MNN already on this HF repo." }, "onnx_dyn_path": "weights/feature_point/superpoint/superpoint_120x160.dyn.onnx", "onnx_source": { "kind": "official_ckpt_export", "ref": "MagicLeap superpoint_v1.pth", "script": "scripts/export_onnx/export_superpoint.py", "notes": "GRAY NCHW 120x160; output_1 65-ch; output_2 256-ch." } }, { "id": "LIGHTGLUE", "served": "bench", "config": "conf/model/feature_point/lightglue/lightglue_config.toml", "product_type": "tensorrt", "onnx_status": "local", "p1_upload": true, "graphs": [ { "role": "extractor", "runtime_path": "weights/feature_point/lightglue/extractor.engine", "onnx_path": "weights/feature_point/lightglue/extractor.static_bs1.onnx", "trt_engines_id": "lightglue_extractor", "inputs": [ { "name": "image" } ], "outputs": [ { "name": "keypoints" }, { "name": "scores" }, { "name": "descriptors" } ], "legacy_onnx_path": "weights/feature_point/lightglue/extractor.onnx", "onnx_dyn_path": "weights/feature_point/lightglue/extractor.dyn.onnx", "onnx_source": { "kind": "preexisting_adopted", "legacy": "weights/feature_point/lightglue/extractor.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width." } }, { "role": "matcher", "runtime_path": "weights/feature_point/lightglue/matcher.engine", "onnx_path": "weights/feature_point/lightglue/matcher.static_bs1.onnx", "trt_engines_id": "lightglue_matcher", "inputs": [ { "name": "kpts0" }, { "name": "kpts1" }, { "name": "desc0" }, { "name": "desc1" } ], "outputs": [ { "name": "matches0" }, { "name": "mscores0" } ], "legacy_onnx_path": "weights/feature_point/lightglue/matcher.onnx", "onnx_dyn_path": "weights/feature_point/lightglue/matcher.dyn.onnx", "onnx_source": { "kind": "preexisting_adopted", "legacy": "weights/feature_point/lightglue/matcher.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width." } } ], "contract": { "source": "toml", "notes": "Not an HTTP GPU-decode port. Do not upload superpoint_lightglue_end2end.onnx." }, "license": { "redistribute": "p1_same_as_existing_runtime_weight", "notes": "cvg/LightGlue Apache-2.0. Local ONNX already registered in trt_engines.json." }, "onnx_source": { "kind": "preexisting", "ref": null, "notes": "Present before P2; keep original filename (not dual-renamed)." } }, { "id": "DINOV2", "variant": "vits14", "served": "http", "config": "conf/model/feature_embedding/dinov2/dinov2_vits14.toml", "product_type": "mnn", "runtime_path": "weights/classification/dinov2/dinov2_vits14_pretrain.mnn", "onnx_path": "weights/classification/dinov2/dinov2_vits14_pretrain.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "E", "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, "H", "W" ], "dynamic": false, "spatial": "session_static" } ], "outputs": [ { "name": "outputs.front()", "note": "rank-2 [1,D] cls-only or rank-3 [1,T,D] all-token" } ], "preprocess": "RGB CLIP mean/std {0.48145466,0.4578275,0.40821073}/{0.26862954,0.26130258,0.27577711} after /255" }, "license": { "redistribute": "p2_review", "notes": "Meta DINOv2 Apache-2.0. Sibling MNN already on this HF repo." }, "onnx_dyn_path": "weights/classification/dinov2/dinov2_vits14_pretrain.dyn.onnx", "onnx_source": { "kind": "official_ckpt_export", "ref": "timm vit_small_patch14_dinov2.lvd142m (Meta LVD-142M, img_size=224 cls-only)", "script": "scripts/export_onnx/export_dinov2_timm.py", "notes": "Official Meta pos-embed is 518; this pair interpolates to 224. Output [1,384] rank-2 (pooling=cls). Apache-2.0." } }, { "id": "DINOV2", "variant": "vitb14", "served": "http", "config": "conf/model/feature_embedding/dinov2/dinov2_vitb14.toml", "product_type": "mnn", "runtime_path": "weights/classification/dinov2/dinov2_vitb14_pretrain.mnn", "onnx_path": "weights/classification/dinov2/dinov2_vitb14_pretrain.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "E", "contract": { "source": "same as DINOV2 vits14" }, "license": { "redistribute": "p2_review" }, "onnx_dyn_path": "weights/classification/dinov2/dinov2_vitb14_pretrain.dyn.onnx", "onnx_source": { "kind": "official_ckpt_export", "ref": "timm vit_base_patch14_dinov2.lvd142m img_size=224 cls-only", "script": "scripts/export_onnx/export_dinov2_timm.py", "notes": "Output [1,768]. Same 224 interpolation note as vits14." } }, { "id": "DINOV2", "variant": "vitl14", "served": "http", "config": "conf/model/feature_embedding/dinov2/dinov2_vitl14.toml", "product_type": "mnn", "runtime_path": "weights/classification/dinov2/dinov2_vitl14_pretrain.mnn", "onnx_path": "weights/classification/dinov2/dinov2_vitl14_pretrain.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "p2_wave": "E", "contract": { "source": "same as DINOV2 vits14" }, "license": { "redistribute": "p2_review" }, "onnx_dyn_path": "weights/classification/dinov2/dinov2_vitl14_pretrain.dyn.onnx", "onnx_source": { "kind": "official_ckpt_export", "ref": "timm vit_large_patch14_dinov2.lvd142m img_size=224 cls-only", "script": "scripts/export_onnx/export_dinov2_timm.py", "notes": "Output [1,1024]. About 1.2 GB per file." } }, { "id": "OPENAI_CLIP", "served": "bench", "config": "conf/model/openai_clip/vit_b_32_config.toml", "product_type": "mnn", "onnx_status": "local", "p1_upload": false, "p2_wave": "E", "graphs": [ { "role": "visual", "runtime_path": "weights/openai_clip/vit-b-32/visual.mnn", "inputs": [ { "name": "input" } ], "outputs": [ { "name": "output" } ], "onnx_path": "weights/openai_clip/vit-b-32/visual.static_bs1.onnx", "onnx_dyn_path": "weights/openai_clip/vit-b-32/visual.dyn.onnx" }, { "role": "textual", "runtime_path": "weights/openai_clip/vit-b-32/textual.mnn", "inputs": [ { "name": "input" } ], "outputs": [ { "name": "output" } ], "onnx_path": "weights/openai_clip/vit-b-32/textual.static_bs1.onnx", "onnx_dyn_path": "weights/openai_clip/vit-b-32/textual.dyn.onnx" } ], "attachments": [ "weights/openai_clip/vit-b-32/bpe_simple_vocab_16e6.txt" ], "contract": { "source": "toml", "notes": "Two graphs, both input/output. Vocab stays on HF as a non-ONNX attachment. Not an HTTP GPU-decode port." }, "license": { "redistribute": "p2_review", "notes": "OpenAI CLIP. Sibling MNN + vocab already on this HF repo." }, "onnx_source": { "kind": "official_ckpt_export", "ref": "OpenAI CLIP ViT-B/32 (clip.load)", "script": "scripts/export_onnx/export_clip.py + I32 Cast wrap on text", "notes": "visual F32 NCHW 224 L2-normed; textual INT32 [1,77] Cast to INT64 inside graph. Vocab stays non-ONNX." } }, { "id": "DEPTH_ANYTHING", "variant": "vits14", "served": "http", "config": "conf/model/mono_depth_estimation/depth_anything/depth_vits14.toml", "product_type": "tensorrt", "runtime_path": "weights/mono_depth_estimation/depth_anything/depth_anything_vits14.engine", "onnx_path": "weights/mono_depth_estimation/depth_anything/depth_anything_vits14.static_bs1.onnx", "onnx_status": "hosted", "p1_upload": false, "trt_engines_id": "depth_anything_vits14", "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, "H", "W" ], "dynamic": false, "spatial": "session_static" } ], "preprocess": "KEEP_RATIO_PAD_ZERO BGR ImageNet {0.485,0.456,0.406}/{0.229,0.224,0.225} after /255" }, "license": { "redistribute": "already_on_this_hf_repo", "notes": "Depth Anything Apache-2.0. ONNX already hosted. Engine deletion is P4." }, "onnx_source": { "kind": "preexisting", "ref": "weights/mono_depth_estimation/depth_anything/depth_anything_vits14.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width.", "legacy": "weights/mono_depth_estimation/depth_anything/depth_anything_vits14.onnx" }, "legacy_onnx_path": "weights/mono_depth_estimation/depth_anything/depth_anything_vits14.onnx", "onnx_dyn_path": "weights/mono_depth_estimation/depth_anything/depth_anything_vits14.dyn.onnx" }, { "id": "DEPTH_ANYTHING", "variant": "vitb14", "served": "http", "config": "conf/model/mono_depth_estimation/depth_anything/depth_vitb14.toml", "product_type": "tensorrt", "runtime_path": "weights/mono_depth_estimation/depth_anything/depth_anything_vitb14.engine", "onnx_path": "weights/mono_depth_estimation/depth_anything/depth_anything_vitb14.static_bs1.onnx", "onnx_status": "local", "p1_upload": true, "trt_engines_id": "depth_anything_vitb14", "contract": { "source": "same as DEPTH_ANYTHING vits14" }, "license": { "redistribute": "p1_same_as_existing_runtime_weight" }, "onnx_source": { "kind": "preexisting", "ref": "weights/mono_depth_estimation/depth_anything/depth_anything_vitb14.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width.", "legacy": "weights/mono_depth_estimation/depth_anything/depth_anything_vitb14.onnx" }, "legacy_onnx_path": "weights/mono_depth_estimation/depth_anything/depth_anything_vitb14.onnx", "onnx_dyn_path": "weights/mono_depth_estimation/depth_anything/depth_anything_vitb14.dyn.onnx" }, { "id": "DEPTH_ANYTHING", "variant": "vitl14", "served": "http", "config": "conf/model/mono_depth_estimation/depth_anything/depth_vitl14.toml", "product_type": "tensorrt", "runtime_path": "weights/mono_depth_estimation/depth_anything/depth_anything_vitl14.engine", "onnx_path": "weights/mono_depth_estimation/depth_anything/depth_anything_vitl14.static_bs1.onnx", "onnx_status": "local", "p1_upload": true, "trt_engines_id": "depth_anything_vitl14", "contract": { "source": "same as DEPTH_ANYTHING vits14" }, "license": { "redistribute": "p1_same_as_existing_runtime_weight", "notes": "About 1.3 GB." }, "onnx_source": { "kind": "preexisting", "ref": "weights/mono_depth_estimation/depth_anything/depth_anything_vitl14.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width.", "legacy": "weights/mono_depth_estimation/depth_anything/depth_anything_vitl14.onnx" }, "legacy_onnx_path": "weights/mono_depth_estimation/depth_anything/depth_anything_vitl14.onnx", "onnx_dyn_path": "weights/mono_depth_estimation/depth_anything/depth_anything_vitl14.dyn.onnx" }, { "id": "METRIC3D", "variant": "512x1088", "served": "http", "config": "conf/model/mono_depth_estimation/metric3d/metric3d_512.toml", "product_type": "tensorrt", "runtime_path": "weights/mono_depth_estimation/metric3d/metric3d_750k_512x1088.engine", "onnx_path": "weights/mono_depth_estimation/metric3d/metric3d_750k_512x1088.static_bs1.onnx", "onnx_status": "hosted", "p1_upload": false, "trt_engines_id": "metric3d_512x1088", "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, 512, 1088 ], "dynamic": false } ], "preprocess": "KEEP_RATIO_PAD_CENTER RGB 0-255 mean {123.675,116.28,103.53} std {58.395,57.12,57.375} pad_with_mean" }, "license": { "redistribute": "already_on_this_hf_repo" }, "onnx_source": { "kind": "preexisting", "ref": "weights/mono_depth_estimation/metric3d/metric3d_750k_512x1088.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width.", "legacy": "weights/mono_depth_estimation/metric3d/metric3d_750k_512x1088.onnx" }, "legacy_onnx_path": "weights/mono_depth_estimation/metric3d/metric3d_750k_512x1088.onnx", "onnx_dyn_path": "weights/mono_depth_estimation/metric3d/metric3d_750k_512x1088.dyn.onnx" }, { "id": "METRIC3D", "variant": "1088x1920", "served": "http", "config": "conf/model/mono_depth_estimation/metric3d/metric3d_1088.toml", "product_type": "tensorrt", "runtime_path": "weights/mono_depth_estimation/metric3d/metric3d_750k_1088x1920.engine", "onnx_path": "weights/mono_depth_estimation/metric3d/metric3d_750k_1088x1920.static_bs1.onnx", "onnx_status": "local", "p1_upload": true, "trt_engines_id": "metric3d_1088x1920", "contract": { "source": "on_init+toml", "inputs": [ { "name": "session.inputs().front()", "layout": "NCHW", "dtype": "F32", "shape": [ 1, 3, 1088, 1920 ], "dynamic": false } ], "preprocess": "same Metric3D KEEP_RATIO_PAD_CENTER RGB 0-255 mean pad" }, "license": { "redistribute": "p1_same_as_existing_runtime_weight" }, "onnx_source": { "kind": "preexisting", "ref": "weights/mono_depth_estimation/metric3d/metric3d_750k_1088x1920.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width.", "legacy": "weights/mono_depth_estimation/metric3d/metric3d_750k_1088x1920.onnx" }, "legacy_onnx_path": "weights/mono_depth_estimation/metric3d/metric3d_750k_1088x1920.onnx", "onnx_dyn_path": "weights/mono_depth_estimation/metric3d/metric3d_750k_1088x1920.dyn.onnx" }, { "id": "SAM_AMG", "served": "http", "config": "conf/model/segment_anything/mobile_sam_amg_config.toml", "product_type": "tensorrt", "onnx_status": "hosted", "p1_upload": false, "graphs": [ { "role": "encoder", "runtime_path": "weights/sam/mobile_sam/sm61/mobile_sam_encoder.engine", "onnx_path": "weights/sam/mobile_sam/mobile_sam_encoder.static_bs1.onnx", "onnx_status": "hosted", "trt_engines_id": "mobile_sam_encoder", "legacy_onnx_path": "weights/sam/mobile_sam/mobile_sam_encoder.onnx", "onnx_dyn_path": "weights/sam/mobile_sam/mobile_sam_encoder.dyn.onnx", "onnx_source": { "kind": "preexisting_adopted", "legacy": "weights/sam/mobile_sam/mobile_sam_encoder.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width." } }, { "role": "amg_decoder", "runtime_path": "weights/sam/mobile_sam/sm61/mobile_sam_amg_decoder.engine", "onnx_path": "weights/sam/mobile_sam/sm86/mobile_sam_amg_decoder.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "trt_engines_id": "mobile_sam_amg_decoder", "notes": "sm61 has no matching onnx; trt_engines.json temporarily uses sm86. Not in P1 upload list.", "legacy_onnx_path": "weights/sam/mobile_sam/sm86/mobile_sam_amg_decoder.onnx", "onnx_dyn_path": "weights/sam/mobile_sam/sm86/mobile_sam_amg_decoder.dyn.onnx", "onnx_source": { "kind": "preexisting_adopted", "legacy": "weights/sam/mobile_sam/sm86/mobile_sam_amg_decoder.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width." } } ], "contract": { "source": "toml", "notes": "HTTP SAM is SAM_AMG (MobileSAM). Not a JPEG GPU-decode port." }, "license": { "redistribute": "already_on_this_hf_repo", "notes": "encoder/decoder onnx hosted; sm86 engines deleted in P4 after onnx stay hosted." }, "onnx_source": { "kind": "preexisting", "ref": null, "notes": "Present before P2; keep original filename (not dual-renamed)." } }, { "id": "SAM_PREDICTOR", "variant": "vit_l", "served": "bench", "config": "conf/model/segment_anything/sam_vit_l_config.toml", "product_type": "mixed", "onnx_status": "blocked", "p1_upload": false, "p2_wave": "F", "graphs": [ { "role": "encoder", "runtime_path": "weights/sam/vit_l/sam_vit_l_encoder.mnn", "onnx_path": null, "onnx_status": "blocked", "inputs": [ { "name": "input_image" } ], "outputs": [ { "name": "image_embeddings" } ], "onnx_source": { "kind": "none", "notes": "No matching official encoder ONNX adopted; do not reverse the ~1.2GB MNN." } }, { "role": "decoder", "runtime_path": "weights/sam/vit_l/sam_vit_l_decoder.onnx", "product_type": "onnx", "onnx_path": "weights/sam/vit_l/sam_vit_l_decoder.static_bs1.onnx", "onnx_status": "local", "p1_upload": false, "notes": "Decoder already ONNX locally; not in the P1 12-file list. Upload with encoder in P2.f.", "legacy_onnx_path": "weights/sam/vit_l/sam_vit_l_decoder.onnx", "onnx_dyn_path": "weights/sam/vit_l/sam_vit_l_decoder.dyn.onnx", "onnx_source": { "kind": "preexisting_adopted", "legacy": "weights/sam/vit_l/sam_vit_l_decoder.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width." } } ], "license": { "redistribute": "p2_review", "notes": "Meta SAM. Encoder ~1.2GB MNN; do not reverse." }, "onnx_source": { "kind": "partial", "notes": "Decoder already local ONNX; encoder still blocked." } }, { "id": "SAM_PREDICTOR", "variant": "mobile_sam", "served": "bench", "config": "conf/model/segment_anything/mobile_sam_config.toml", "product_type": "tensorrt", "onnx_status": "hosted", "p1_upload": false, "graphs": [ { "role": "encoder", "runtime_path": "weights/sam/mobile_sam/sm61/mobile_sam_encoder.engine", "onnx_path": "weights/sam/mobile_sam/mobile_sam_encoder.static_bs1.onnx", "trt_engines_id": "mobile_sam_encoder", "legacy_onnx_path": "weights/sam/mobile_sam/mobile_sam_encoder.onnx", "onnx_dyn_path": "weights/sam/mobile_sam/mobile_sam_encoder.dyn.onnx", "onnx_source": { "kind": "preexisting_adopted", "legacy": "weights/sam/mobile_sam/mobile_sam_encoder.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width." } }, { "role": "decoder", "runtime_path": "weights/sam/mobile_sam/sm61/mobile_sam_decoder.engine", "onnx_path": "weights/sam/mobile_sam/mobile_sam_decoder.static_bs1.onnx", "trt_engines_id": "mobile_sam_decoder", "legacy_onnx_path": "weights/sam/mobile_sam/mobile_sam_decoder.onnx", "onnx_dyn_path": "weights/sam/mobile_sam/mobile_sam_decoder.dyn.onnx", "onnx_source": { "kind": "preexisting_adopted", "legacy": "weights/sam/mobile_sam/mobile_sam_decoder.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width." } } ], "license": { "redistribute": "already_on_this_hf_repo" }, "onnx_source": { "kind": "preexisting", "ref": null, "notes": "Present before P2; keep original filename (not dual-renamed)." } }, { "id": "SAM_PREDICTOR", "variant": "nano_sam", "served": "bench", "config": "conf/model/segment_anything/nano_sam_config.toml", "product_type": "tensorrt", "onnx_status": "local", "p1_upload": true, "graphs": [ { "role": "encoder", "runtime_path": "weights/sam/nano_sam/sm61/nano_sam_encoder_fp16.engine", "onnx_path": "weights/sam/nano_sam/nano_sam_encoder.static_bs1.onnx", "trt_engines_id": "nano_sam_encoder_fp16", "legacy_onnx_path": "weights/sam/nano_sam/nano_sam_encoder.onnx", "onnx_dyn_path": "weights/sam/nano_sam/nano_sam_encoder.dyn.onnx", "onnx_source": { "kind": "preexisting_adopted", "legacy": "weights/sam/nano_sam/nano_sam_encoder.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width." } }, { "role": "decoder", "runtime_path": "weights/sam/nano_sam/sm61/nano_sam_decoder.engine", "onnx_path": "weights/sam/nano_sam/nano_sam_decoder.static_bs1.onnx", "trt_engines_id": "nano_sam_decoder", "legacy_onnx_path": "weights/sam/nano_sam/nano_sam_decoder.onnx", "onnx_dyn_path": "weights/sam/nano_sam/nano_sam_decoder.dyn.onnx", "onnx_source": { "kind": "preexisting_adopted", "legacy": "weights/sam/nano_sam/nano_sam_decoder.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width." } } ], "license": { "redistribute": "p1_same_as_existing_runtime_weight" }, "onnx_source": { "kind": "preexisting", "ref": null, "notes": "Present before P2; keep original filename (not dual-renamed)." } }, { "id": "FAST_SAM", "variant": "s", "served": "bench", "config": "conf/model/segment_anything/fast_sam_s_config.toml", "product_type": "mnn", "runtime_path": "weights/sam/fastsam_s/FastSAM-s.mnn", "onnx_path": "weights/sam/fastsam_s/FastSAM-s.static_bs1.onnx", "onnx_status": "local", "p1_upload": true, "contract": { "source": "on_init", "outputs": [ { "name": "output0" }, { "name": "output1" } ], "notes": "Optional later trt_engines.json registration. AGPL like YOLO." }, "license": { "redistribute": "review_before_redistribute", "notes": "CASIA-IVA-Lab FastSAM AGPL-3.0. P1 still uploads because this is the local interchange twin of the product MNN (same policy as other P1 files). YOLO n/l/x stay skipped because they are not product." }, "onnx_source": { "kind": "preexisting", "ref": "weights/sam/fastsam_s/FastSAM-s.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width.", "legacy": "weights/sam/fastsam_s/FastSAM-s.onnx" }, "legacy_onnx_path": "weights/sam/fastsam_s/FastSAM-s.onnx", "onnx_dyn_path": "weights/sam/fastsam_s/FastSAM-s.dyn.onnx" }, { "id": "FAST_SAM", "variant": "x", "served": "bench", "config": "conf/model/segment_anything/fast_sam_x_config.toml", "product_type": "mnn", "runtime_path": "weights/sam/fastsam_x/FastSAM-x.mnn", "onnx_path": "weights/sam/fastsam_x/FastSAM-x.static_bs1.onnx", "onnx_status": "local", "p1_upload": true, "contract": { "source": "same as FAST_SAM s" }, "license": { "redistribute": "review_before_redistribute" }, "onnx_source": { "kind": "preexisting", "ref": "weights/sam/fastsam_x/FastSAM-x.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width.", "legacy": "weights/sam/fastsam_x/FastSAM-x.onnx" }, "legacy_onnx_path": "weights/sam/fastsam_x/FastSAM-x.onnx", "onnx_dyn_path": "weights/sam/fastsam_x/FastSAM-x.dyn.onnx" }, { "id": "DDPM", "served": "http", "config": "conf/model/diffusion/ddpm/ddpm_celeba-hq.toml", "product_type": "onnx", "runtime_path": "weights/diffusion/ddpm/ddpm_unet_celeba-hq-128x128.onnx", "onnx_path": "weights/diffusion/ddpm/ddpm_unet_celeba-hq-128x128.static_bs1.onnx", "onnx_status": "hosted", "p1_upload": false, "trt_engines_id": "ddpm_unet_celeba_hq_128", "contract": { "source": "toml", "notes": "Existing product-type=onnx exception (diffusion)." }, "license": { "redistribute": "already_on_this_hf_repo" }, "onnx_source": { "kind": "preexisting", "ref": "weights/diffusion/ddpm/ddpm_unet_celeba-hq-128x128.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width.", "legacy": "weights/diffusion/ddpm/ddpm_unet_celeba-hq-128x128.onnx" }, "legacy_onnx_path": "weights/diffusion/ddpm/ddpm_unet_celeba-hq-128x128.onnx", "onnx_dyn_path": "weights/diffusion/ddpm/ddpm_unet_celeba-hq-128x128.dyn.onnx" }, { "id": "DDIM", "served": "http", "config": "conf/model/diffusion/ddpm/ddim_celeba-hq.toml", "product_type": "onnx", "runtime_path": "weights/diffusion/ddpm/ddpm_unet_celeba-hq-256x256.onnx", "onnx_path": "weights/diffusion/ddpm/ddpm_unet_celeba-hq-256x256.static_bs1.onnx", "onnx_status": "hosted", "p1_upload": false, "trt_engines_id": "ddpm_unet_celeba_hq_256", "license": { "redistribute": "already_on_this_hf_repo" }, "onnx_source": { "kind": "preexisting", "ref": "weights/diffusion/ddpm/ddpm_unet_celeba-hq-256x256.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width.", "legacy": "weights/diffusion/ddpm/ddpm_unet_celeba-hq-256x256.onnx" }, "legacy_onnx_path": "weights/diffusion/ddpm/ddpm_unet_celeba-hq-256x256.onnx", "onnx_dyn_path": "weights/diffusion/ddpm/ddpm_unet_celeba-hq-256x256.dyn.onnx" }, { "id": "CLS_COND_DDIM", "served": "http", "config": "conf/model/diffusion/ddpm/cls_cond_ddim_netease-album-cover.toml", "product_type": "onnx", "runtime_path": "weights/diffusion/ddpm/cls_cond_ddpm_netease_album_cover_128x128.onnx", "onnx_path": "weights/diffusion/ddpm/cls_cond_ddpm_netease_album_cover_128x128.static_bs1.onnx", "onnx_status": "hosted", "p1_upload": false, "trt_engines_id": "cls_cond_ddpm_netease_album_cover", "license": { "redistribute": "already_on_this_hf_repo" }, "onnx_source": { "kind": "preexisting", "ref": "weights/diffusion/ddpm/cls_cond_ddpm_netease_album_cover_128x128.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width.", "legacy": "weights/diffusion/ddpm/cls_cond_ddpm_netease_album_cover_128x128.onnx" }, "legacy_onnx_path": "weights/diffusion/ddpm/cls_cond_ddpm_netease_album_cover_128x128.onnx", "onnx_dyn_path": "weights/diffusion/ddpm/cls_cond_ddpm_netease_album_cover_128x128.dyn.onnx" }, { "id": "LDM", "served": "http", "config": "conf/model/diffusion/ldm/latent_diffusion.toml", "product_type": "tensorrt", "onnx_status": "hosted", "p1_upload": false, "graphs": [ { "role": "unet", "runtime_path": "weights/diffusion/ldm/latent_ddpm_celeba-hq.engine", "onnx_path": "weights/diffusion/ldm/latent_ddpm_celeba-hq.static_bs1.onnx", "trt_engines_id": "latent_ddpm_celeba_hq", "legacy_onnx_path": "weights/diffusion/ldm/latent_ddpm_celeba-hq.onnx", "onnx_dyn_path": "weights/diffusion/ldm/latent_ddpm_celeba-hq.dyn.onnx", "onnx_source": { "kind": "preexisting_adopted", "legacy": "weights/diffusion/ldm/latent_ddpm_celeba-hq.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width." } }, { "role": "autoencoder", "config": "conf/model/diffusion/ldm/autoencoder_kl.toml", "runtime_path": "weights/diffusion/ldm/autoencoder_kl_decoder.engine", "onnx_path": "weights/diffusion/ldm/autoencoder_kl_decoder.static_bs1.onnx", "trt_engines_id": "autoencoder_kl_decoder", "legacy_onnx_path": "weights/diffusion/ldm/autoencoder_kl_decoder.onnx", "onnx_dyn_path": "weights/diffusion/ldm/autoencoder_kl_decoder.dyn.onnx", "onnx_source": { "kind": "preexisting_adopted", "legacy": "weights/diffusion/ldm/autoencoder_kl_decoder.onnx", "notes": "Adopted from the existing ONNX: original file kept for product toml / trt_engines.json / HF names. Dual interchange is {stem}.static_bs1.onnx (batch=1) and {stem}.dyn.onnx (symbolic batch). Spatial dims unchanged except CenterFace, whose dummy 32×32 was opened to height/width." } } ], "license": { "redistribute": "already_on_this_hf_repo", "notes": "Engines still on HF; delete in P4." }, "onnx_source": { "kind": "preexisting", "ref": null, "notes": "Present before P2; keep original filename (not dual-renamed)." } } ] }